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dc.contributor.author | Albert Gil, Francisco Eugenio![]() |
es_ES |
dc.contributor.author | García Fernández-Pacheco, Daniel![]() |
es_ES |
dc.contributor.author | Aleixos Borrás, María Nuria![]() |
es_ES |
dc.date.accessioned | 2017-04-26T10:56:12Z | |
dc.date.available | 2017-04-26T10:56:12Z | |
dc.date.issued | 2013-05 | |
dc.identifier.issn | 0031-3203 | |
dc.identifier.uri | http://hdl.handle.net/10251/80020 | |
dc.description.abstract | Some recent approaches have been presented as simple and highly accurate corner finders in the sketches including curves, which is useful to support natural human-computer interaction, but these in most cases do not consider tangent vertices (smooth points between two geometric entities, present in engineering models), what implies an important drawback in the field of design. In this article we present a robust approach based on the approximation to parametric cubic curves of the stroke for further radius function calculation in order to detect corner and tangent vertices. We have called our approach Tangent and Corner Vertices Detection (TCVD), and it works in the following way. First, corner vertices are obtained as minimum radius peaks in the discrete radius function, where radius is obtained from differences. Second, approximated piecewise parametric curves on the stroke are obtained and the analytic radius function is calculated. Then, curves are obtained from stretches of the stroke that have a small radius. Finally, the tangent vertices are found between straight lines and curves or between curves, where no corner vertices are previously located. The radius function to obtain curves is calculated from approximated piecewise curves, which is much more noise free than discrete radius calculation. Several tests have been carried out to compare our approach to that of the current best benchmarked, and the obtained results show that our approach achieves a significant accuracy even better finding corner vertices, and moreover, tangent vertices are detected with an Accuracy near to 92% and a False Positive Rate near to 2%. | es_ES |
dc.description.sponsorship | Spanish Ministry of Science and Education and the FEDER Funds, through CUESKETCH (Ref. DPI2007-66755-C02-01) and HYMAS projects (Ref. DPI2010-19457) partially supported this work. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Pattern Recognition | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Corner and tangent vertices detection | es_ES |
dc.subject | Hand-drawn and sketch segmentation | es_ES |
dc.subject | Image object recognition | es_ES |
dc.subject | Natural interfaces | es_ES |
dc.subject.classification | EXPRESION GRAFICA EN LA INGENIERIA | es_ES |
dc.title | New method to find corner and tangent vertices in sketches using parametric cubic curves approximation | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.patcog.2012.11.006 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MEC//DPI2007-66755-C02-01/ES/CUESKETCH: RECONOCIMIENTO DE BOCETOS DE IDEACION BASADO EN MULTI-AGENTES/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2010-19457/ES/DESARROLLO DE NUEVAS TECNICAS DE VISION POR COMPUTADOR BASADAS EN SISTEMAS MULTI-AGENTE E IMAGENES HIPERESPECTRALES PARA LA ESTIMACION AUTOMATICA DE LA CALIDAD DE LOS CITRICOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Albert Gil, FE.; García Fernández-Pacheco, D.; Aleixos Borrás, MN. (2013). New method to find corner and tangent vertices in sketches using parametric cubic curves approximation. Pattern Recognition. 46(5):1433-1448. https://doi.org/10.1016/j.patcog.2012.11.006 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi. org/10.1016/j.patcog.2012.11.006 | es_ES |
dc.description.upvformatpinicio | 1433 | es_ES |
dc.description.upvformatpfin | 1448 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 46 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.senia | 230053 | es_ES |
dc.contributor.funder | Ministerio de Educación y Ciencia | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |